Journals / Journal of Soft Computing and Artificial Intelligence / 2026 / Volume: 2 Issue: 1

New hybrid of Conjugate Gradient Technique for Solving Fuzzy Nonlinear Equations

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Publication Date
2021-06-15
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

Table of the numerical solution is given to show the efficiency of the proposed technique and which is compared with classical algorithms such as (Fletcher and Reeves (FR), Polak and Ribiere (PRP), Fletcher (CD), and (KH)) techniques.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, we suggest a new technique for numerical solution of fuzzy nonlinear equations in parametric form using a new Conjugate Gradient Technique.
📊
Key Findings & Data:In this paper, we suggest a new technique for numerical solution of fuzzy nonlinear equations in parametric form using a new Conjugate Gradient Technique.
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Conclusion & Impact:Table of the numerical solution is given to show the efficiency of the proposed technique and which is compared with classical algorithms such as (Fletcher and Reeves (FR), Polak and Ribiere (PRP), Fletcher (CD), and (KH)) techniques.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:conjugate gradient technique · fuzzy parametric form · fuzzy nonlinear equations

Abstract

In this paper, we suggest a new technique for numerical solution of fuzzy nonlinear equations in parametric form using a new Conjugate Gradient Technique. Table of the numerical solution is given to show the efficiency of the proposed technique and which is compared with classical algorithms such as (Fletcher and Reeves (FR), Polak and Ribiere (PRP), Fletcher (CD), and (KH)) techniques.

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Cite This Article

Mohammed, H., Abbo, K. K. (2021). New hybrid of Conjugate Gradient Technique for Solving Fuzzy Nonlinear Equations. Journal of Soft Computing and Artificial Intelligence, Volume: 2 Issue: 1. https://ajindex.com/articles/1512667

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